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市场调查报告书
商品编码
1877569

2025年云端增强智慧全球市场报告

Cloud Augmented Intelligence Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10个工作天内

价格
简介目录

近年来，云端增强智慧市场发展迅猛，预计将从2024年的120.3亿美元成长到2025年的140.2亿美元，复合年增长率达16.5%。过去几年的成长可归因于多种因素，例如资料量和可用性的增加、对即时决策日益增长的需求、对经济高效的人工智慧和机器学习工具的需求不断增长、各行业数位转型的推进以及业务流程自动化程度的提高。

预计未来几年，云端增强智慧市场将快速成长，到2029年市场规模将达到235亿美元，复合年增长率（CAGR）为16.1%。预测期内的成长要素包括：人工智慧和机器学习研发投入的增加、中小企业云端采用率的提高、监管机构对人工智慧云端服务的支持力度加大、对可解释和可信赖人工智慧的需求不断增长，以及日益增长的数据安全担忧推动了先进云端安全解决方案的发展。预测期内的主要趋势包括：即时数据处理和分析技术的进步、云端增强智慧与物联网和边缘运算的日益融合、对人工智慧即服务平台创新投入的增加、自然语言处理和电脑视觉模型的进步，以及永续和环保型云端基础设施的创新。

预计未来几年，云端运算服务的日益普及将推动云端增强智慧市场的成长。云端运算服务是一种线上平台，允许个人和企业透过网路储存资料、运行应用程式并存取运算能力，而无需依赖本地伺服器或个人电脑。云端运算服务的普及率不断提高，是因为它们能够以经济高效且扩充性的方式提供运算资源，而无需昂贵的本地基础设施。云端运算服务中的云端增强智慧将人工智慧驱动的数据分析与扩充性的云端基础设施相结合，从而提供更快、更先进的洞察，并增强人类的决策能力。例如，根据美国科技公司微软预测，截至2023年4月，澳洲的公共云端支出预计将成长83%，从2022年的约73亿美元（122亿澳元）增加至2026年的约134亿美元（224亿澳元）。因此，云端运算服务的日益普及正在推动云端增强智慧市场的成长。

云端增强智慧市场的主要企业正专注于技术进步，例如开发用于云端加速的客製化AI和通用晶片，以提高运算效率、优化AI和通用工作负载，并在Azure云端平台上实现高效能处理。客製化AI和通用晶片将AI专用加速器与通用处理器集成，从而提升云端运算的效能、效率和可扩展性。例如，2023年11月，美国科技公司微软发布了Maia 100 AI加速器和Cobolt 100 CPU，这是其首款旨在解决云端基础AI和通用运算挑战的客製化硅晶片。 Maia 100采用5nm製程製造，配备64GB HBM2E内存，并针对大规模AI工作负载进行了最佳化。同时，基于Arm Neoverse N2架构的Cobolt 100 CPU则增强了标准运算效能。这些功能的结合为AI驱动的云端应用提供了可扩展、高效且高效能的处理能力。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 市场：宏观经济情景，包括利率、通货膨胀、地缘政治、贸易战和关税，以及新冠疫情及其復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球云端增强智慧市场：PESTEL 分析（政治、社会、技术、环境、法律因素、驱动因素与限制因素）
  • 终端用户产业分析
  • 全球云端增强智慧市场：成长率分析
  • 全球云端增强智慧市场表现：规模与成长，2019-2024年
  • 全球云端增强智慧市场预测：规模与成长，2024-2029年，2034年预测
  • 全球云端增强智慧市场：潜在市场规模 (TAM)

第六章 市场细分

  • 全球云端增强智慧市场：按组件划分，实际值和预测值，2019-2024 年、2024-2029 年预测值、2034 年预测值
  • 软体
  • 硬体
  • 服务
  • 全球云端增强智慧市场：依技术、效能和预测划分，2019-2024年、2024-2029年预测、2034年预测
  • 机器学习
  • 自然语言处理（NLP）
  • 电脑视觉
  • 预测分析
  • 数据分析
  • 全球云端增强智慧市场：依部署模式划分，实际结果与预测，2019-2024年、2024-2029年预测、2034年预测
  • 公共云端
  • 私有云端
  • 混合云端
  • 全球云端增强智慧市场：依组织规模划分，实际结果与预测，2019-2024 年、2024-2029 年预测、2034 年预测
  • 中小企业
  • 大公司
  • Start-Ups公司
  • 全球云端增强智慧市场：依最终用户划分，实际值和预测值，2019-2024 年、2024-2029 年预测值、2034 年预测值
  • 银行、金融服务和保险（BFSI）
  • 卫生保健
  • 零售与电子商务
  • 媒体与娱乐
  • 製造业
  • 资讯科技与通讯
  • 其他最终用户
  • 全球云端增强智慧市场：依软体、类型、实际值及预测值细分，2019-2024年、2024-2029年预测值、2034年预测值
  • 机器学习平台
  • 自然语言处理（NLP）
  • 电脑视觉
  • 语音辨识
  • 认知分析
  • 人工智慧（AI）模型管理平台
  • 全球云端增强智慧市场：按硬体、类型、效能和预测进行细分，2019-2024 年、2024-2029 年预测、2034 年预测
  • 人工智慧（AI）加速器
  • 储存系统
  • 网路装置
  • 高效能运算（HPC）系统
  • 边缘设备
  • 全球云端增强智慧市场：按服务、类型、效能和预测细分，2019-2024 年、2024-2029 年预测、2034 年预测
  • 专业服务
  • 託管服务
  • 培训和支持
  • 云端基础设施服务
  • 人工智慧即服务 (AIaaS)

第七章 区域和国家分析

  • 全球云端增强智慧市场：按地区、效能和预测划分，2019-2024 年、2024-2029 年预测、2034 年预测
  • 全球云端增强智慧市场：国家、效能与预测，2019-2024 年、2024-2029 年预测、2034 年预测

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章：澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章 西欧市场

第十六章英国市场

第十七章：德国市场

第十八章：法国市场

第十九章：义大利市场

第二十章：西班牙市场

第21章 东欧市场

第22章：俄罗斯市场

第23章 北美市场

第24章美国市场

第25章：加拿大市场

第26章 南美洲市场

第27章：巴西市场

第28章 中东市场

第29章：非洲市场

第三十章：竞争格局与公司概况

  • 云端增强智慧市场：竞争格局
  • 云端增强智慧市场：公司概况
    • Google LLC Overview, Products and Services, Strategy and Financial Analysis
    • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Amazon Web Services Inc.（AWS）Overview, Products and Services, Strategy and Financial Analysis
    • Accenture plc Overview, Products and Services, Strategy and Financial Analysis
    • International Business Machines Corporation（IBM）Overview, Products and Services, Strategy and Financial Analysis

第31章：其他领先和创新企业

  • Cisco Systems Inc.
  • Intel Corporation
  • SAP SE
  • Tata Consultancy Services Limited（TCS）
  • Hewlett Packard Enterprise Development LP（HPE）
  • Fujitsu Limited
  • Cognizant Technology Solutions Corporation
  • Infosys Limited
  • Wipro Limited
  • SAS Institute Inc.
  • Informatica Inc.
  • WNS（Holdings）Limited
  • MicroStrategy Incorporated
  • Sisense Inc.
  • Tecnotree Corporation

第32章 全球市场竞争基准化分析与仪錶板

第33章 重大併购

第34章 近期市场趋势

第35章：高潜力市场国家、细分市场与策略

  • 2029年云端增强智慧市场：提供新机会的国家
  • 2029年云端增强智慧市场：新兴细分市场机会
  • 2029年云端增强智慧市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手策略

第36章附录

简介目录
Product Code: r39154

Cloud augmented intelligence involves integrating artificial intelligence capabilities with cloud computing platforms to enhance decision-making, automation, and data-driven insights. It utilizes scalable cloud infrastructure to handle large volumes of structured and unstructured data in real time. This approach enables organizations to improve efficiency, accuracy, and innovation by combining human intelligence with advanced computational models.

The main components of cloud augmented intelligence are software, hardware, and services. Cloud augmented intelligence software refers to AI-powered platforms and analytics tools hosted on the cloud that enhance human decision-making by combining data processing, predictive analytics, and machine learning models. Cloud augmented intelligence functions through technologies such as machine learning, natural language processing, computer vision, predictive analytics, and data analytics, and can be deployed through public, private, or hybrid cloud models. It serves organizations of all sizes, including small and medium enterprises, large enterprises, and startups, across industries such as banking, financial services and insurance, healthcare, retail and e-commerce, media and entertainment, manufacturing, information technology and telecommunications, and others.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The rapid escalation of U.S. tariffs and the resulting trade tensions in spring 2025 are significantly impacting the information technology sector, particularly in hardware manufacturing, data infrastructure, and software deployment. Higher duties on imported semiconductors, circuit boards, and networking equipment have raised production and operational costs for tech firms, cloud service providers, and data centers. Companies relying on globally sourced components for laptops, servers, and consumer electronics are facing longer lead times and increased pricing pressures. In parallel, tariffs on specialized software tools and retaliatory measures from key international markets have disrupted global IT supply chains and reduced overseas demand for U.S.-developed technologies. To navigate these challenges, the sector is accelerating investments in domestic chip fabrication, diversifying supplier bases, and adopting AI-driven automation to enhance operational resilience and cost efficiency.

The cloud augmented intelligence market research report is one of a series of new reports from The Business Research Company that provides cloud augmented intelligence market statistics, including the cloud augmented intelligence industry global market size, regional shares, competitors with the cloud augmented intelligence market share, detailed cloud augmented intelligence market segments, market trends, and opportunities, and any further data you may need to thrive in the cloud augmented intelligence industry. This cloud augmented intelligence market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The cloud augmented intelligence market size has grown rapidly in recent years. It will grow from $12.03 billion in 2024 to $14.02 billion in 2025 at a compound annual growth rate (CAGR) of 16.5%. The growth in the historic period can be attributed to the increasing volume and availability of data, the rising need for real-time decision-making, the growing demand for cost-efficient AI and ML tools, the expansion of digital transformation across industries, and the rising adoption of automation in business processes.

The cloud augmented intelligence market size is expected to see rapid growth in the next few years. It will grow to $23.50 billion in 2029 at a compound annual growth rate (CAGR) of 16.1%. The growth in the forecast period can be attributed to increasing investment in AI and machine learning research, rising cloud adoption by small and medium enterprises, growing regulatory support for AI cloud services, increasing demand for explainable and trustworthy AI, and rising concerns over data security driving the development of advanced cloud security solutions. Major trends in the forecast period include technological advancements in real-time data processing and analytics, progress in integrating cloud augmented intelligence with IoT and edge computing, investment in innovation for AI-as-a-service platforms, advancement in natural language processing and computer vision models, and innovation in sustainable and green cloud infrastructure.

The increasing adoption of cloud computing services is expected to drive the growth of the cloud augmented intelligence market in the coming years. Cloud computing services are online platforms that allow individuals and businesses to store data, run applications, and access computing power over the internet instead of relying on local servers or personal computers. The adoption of cloud computing services is rising as they provide cost-efficient and scalable access to computing resources without the need for expensive on-site infrastructure. Cloud augmented intelligence in cloud computing services enhances human decision-making by combining AI-driven data analysis with scalable cloud infrastructure to deliver faster and smarter insights. For example, in April 2023, according to Microsoft Corporation, a US-based technology company, public cloud spending in Australia is projected to increase by 83%, from approximately $7.3 billion (A$12.2 billion) in 2022 to around $13.4 billion (A$22.4 billion) by 2026. Therefore, the increasing adoption of cloud computing services is driving the growth of the cloud augmented intelligence market.

Major companies in the cloud augmented intelligence market are focusing on technological advancements such as developing custom AI and general-purpose silicon for cloud acceleration to enhance computational efficiency, optimize AI and general workloads, and enable high-performance processing on the Azure cloud platform. Custom AI and general-purpose silicon integrate AI-specific accelerators with general-purpose processors to improve performance, efficiency, and scalability in cloud computing. For instance, in November 2023, Microsoft Corporation, a US-based technology company, introduced its first custom silicon chips, Maia 100 AI accelerator and Cobolt 100 CPU, designed to address challenges in cloud-based AI and general computing. The Maia 100, built on a 5 nm process with 64 GB of HBM2E memory, is optimized for large-scale AI workloads, while the Cobolt 100 CPU, based on Arm Neoverse N2 architecture, enhances standard compute performance. Together, they provide scalable, efficient, and high-performance processing for AI-driven cloud applications.

In March 2025, ServiceNow, a US-based enterprise software company, acquired Moveworks for $2.85 billion. This acquisition aims to strengthen ServiceNow's artificial intelligence automation capabilities, enhance conversational AI and enterprise search solutions, and expand its presence in the mid-market segment. Moveworks is a US-based technology company that specializes in AI-driven employee support platforms, utilizing advanced natural language processing and understanding to effectively handle unstructured text and user queries.

Major players in the cloud augmented intelligence market are Google LLC, Microsoft Corporation, Amazon Web Services Inc. (AWS), Accenture plc, International Business Machines Corporation (IBM), Cisco Systems Inc., Intel Corporation, SAP SE, Tata Consultancy Services Limited (TCS), Hewlett Packard Enterprise Development LP (HPE), Fujitsu Limited, Cognizant Technology Solutions Corporation, Infosys Limited, Wipro Limited, SAS Institute Inc., Informatica Inc., WNS (Holdings) Limited, MicroStrategy Incorporated, Sisense Inc., and Tecnotree Corporation.

North America was the largest region in the cloud augmented intelligence market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in cloud augmented intelligence report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the cloud augmented intelligence market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The cloud augmented intelligence market consists of revenues earned by entities by providing services such as cloud artificial intelligence consulting services, data integration and migration services, artificial intelligence model training and optimization services, managed artificial intelligence-as-a-service (AIaaS), and cloud security and compliance services for artificial intelligence. The market value includes the value of related goods sold by the service provider or included within the service offering. The cloud augmented intelligence market includes sales of cloud-based recommendation engines, artificial intelligence-powered virtual assistants, fraud detection platforms, predictive maintenance systems, and cognitive document processing tools. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Cloud Augmented Intelligence Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on cloud augmented intelligence market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

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Where is the largest and fastest growing market for cloud augmented intelligence ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The cloud augmented intelligence market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

  • Markets Covered:1) By Component: Software; Hardware; Services
  • 2) By Technology: Machine Learning; Natural Language Processing (NLP); Computer Vision; Predictive Analytics; Data Analytics
  • 3) By Deployment Mode: Public Cloud; Private Cloud; Hybrid Cloud
  • 4) By Size Of Organization: Small And Medium Enterprises (SMEs); Large Enterprises; Startups
  • 5) By End-User: Banking, Financial Services, And Insurance (BFSI); Healthcare; Retail And E-Commerce; Media And Entertainment; Manufacturing; Information Technology And Telecommunications; Other End-Users
  • Subsegment:
  • 1) By Software: Machine Learning Platforms; Natural Language Processing (NLP); Computer Vision; Speech Recognition; Cognitive Analytics; Artificial Intelligence (AI) Model Management Platforms
  • 2) By Hardware: Artificial Intelligence (AI) Accelerators; Storage Systems; Networking Equipment; High-Performance Computing (HPC) Systems; Edge Devices
  • 3) By Services: Professional Services; Managed Services; Training And Support; Cloud Infrastructure Services; Artificial Intelligence (AI)-As-A-Service (AIaaS)
  • Companies Mentioned: Google LLC; Microsoft Corporation; Amazon Web Services Inc. (AWS); Accenture plc; International Business Machines Corporation (IBM); Cisco Systems Inc.; Intel Corporation; SAP SE; Tata Consultancy Services Limited (TCS); Hewlett Packard Enterprise Development LP (HPE); Fujitsu Limited; Cognizant Technology Solutions Corporation; Infosys Limited; Wipro Limited; SAS Institute Inc.; Informatica Inc.; WNS (Holdings) Limited; MicroStrategy Incorporated; Sisense Inc.; Tecnotree Corporation.
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. Cloud Augmented Intelligence Market Characteristics

3. Cloud Augmented Intelligence Market Trends And Strategies

4. Cloud Augmented Intelligence Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

5. Global Cloud Augmented Intelligence Growth Analysis And Strategic Analysis Framework

  • 5.1. Global Cloud Augmented Intelligence PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global Cloud Augmented Intelligence Market Growth Rate Analysis
  • 5.4. Global Cloud Augmented Intelligence Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global Cloud Augmented Intelligence Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global Cloud Augmented Intelligence Total Addressable Market (TAM)

6. Cloud Augmented Intelligence Market Segmentation

  • 6.1. Global Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Software
  • Hardware
  • Services
  • 6.2. Global Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Machine Learning
  • Natural Language Processing (NLP)
  • Computer Vision
  • Predictive Analytics
  • Data Analytics
  • 6.3. Global Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Public Cloud
  • Private Cloud
  • Hybrid Cloud
  • 6.4. Global Cloud Augmented Intelligence Market, Segmentation By Size Of Organization, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Small And Medium Enterprises (SMEs)
  • Large Enterprises
  • Startups
  • 6.5. Global Cloud Augmented Intelligence Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Banking, Financial Services, And Insurance (BFSI)
  • Healthcare
  • Retail And E-Commerce
  • Media And Entertainment
  • Manufacturing
  • Information Technology And Telecommunications
  • Other End-Users
  • 6.6. Global Cloud Augmented Intelligence Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Machine Learning Platforms
  • Natural Language Processing (NLP)
  • Computer Vision
  • Speech Recognition
  • Cognitive Analytics
  • Artificial intelligence (AI) Model Management Platforms
  • 6.7. Global Cloud Augmented Intelligence Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Artificial intelligence (AI) Accelerators
  • Storage Systems
  • Networking Equipment
  • High-Performance Computing (HPC) Systems
  • Edge Devices
  • 6.8. Global Cloud Augmented Intelligence Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Professional Services
  • Managed Services
  • Training And Support
  • Cloud Infrastructure Services
  • Artificial intelligence (AI)-As-A-Service (AIaaS)

7. Cloud Augmented Intelligence Market Regional And Country Analysis

  • 7.1. Global Cloud Augmented Intelligence Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global Cloud Augmented Intelligence Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Cloud Augmented Intelligence Market

  • 8.1. Asia-Pacific Cloud Augmented Intelligence Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Cloud Augmented Intelligence Market

  • 9.1. China Cloud Augmented Intelligence Market Overview
  • 9.2. China Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Cloud Augmented Intelligence Market

  • 10.1. India Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Cloud Augmented Intelligence Market

  • 11.1. Japan Cloud Augmented Intelligence Market Overview
  • 11.2. Japan Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Cloud Augmented Intelligence Market

  • 12.1. Australia Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Cloud Augmented Intelligence Market

  • 13.1. Indonesia Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Cloud Augmented Intelligence Market

  • 14.1. South Korea Cloud Augmented Intelligence Market Overview
  • 14.2. South Korea Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Cloud Augmented Intelligence Market

  • 15.1. Western Europe Cloud Augmented Intelligence Market Overview
  • 15.2. Western Europe Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Cloud Augmented Intelligence Market

  • 16.1. UK Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Cloud Augmented Intelligence Market

  • 17.1. Germany Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Cloud Augmented Intelligence Market

  • 18.1. France Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Cloud Augmented Intelligence Market

  • 19.1. Italy Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Cloud Augmented Intelligence Market

  • 20.1. Spain Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Cloud Augmented Intelligence Market

  • 21.1. Eastern Europe Cloud Augmented Intelligence Market Overview
  • 21.2. Eastern Europe Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Cloud Augmented Intelligence Market

  • 22.1. Russia Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Cloud Augmented Intelligence Market

  • 23.1. North America Cloud Augmented Intelligence Market Overview
  • 23.2. North America Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Cloud Augmented Intelligence Market

  • 24.1. USA Cloud Augmented Intelligence Market Overview
  • 24.2. USA Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Cloud Augmented Intelligence Market

  • 25.1. Canada Cloud Augmented Intelligence Market Overview
  • 25.2. Canada Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Cloud Augmented Intelligence Market

  • 26.1. South America Cloud Augmented Intelligence Market Overview
  • 26.2. South America Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Cloud Augmented Intelligence Market

  • 27.1. Brazil Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Cloud Augmented Intelligence Market

  • 28.1. Middle East Cloud Augmented Intelligence Market Overview
  • 28.2. Middle East Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Cloud Augmented Intelligence Market

  • 29.1. Africa Cloud Augmented Intelligence Market Overview
  • 29.2. Africa Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Cloud Augmented Intelligence Market Competitive Landscape And Company Profiles

  • 30.1. Cloud Augmented Intelligence Market Competitive Landscape
  • 30.2. Cloud Augmented Intelligence Market Company Profiles
    • 30.2.1. Google LLC Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. Amazon Web Services Inc. (AWS) Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Accenture plc Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. International Business Machines Corporation (IBM) Overview, Products and Services, Strategy and Financial Analysis

31. Cloud Augmented Intelligence Market Other Major And Innovative Companies

  • 31.1. Cisco Systems Inc.
  • 31.2. Intel Corporation
  • 31.3. SAP SE
  • 31.4. Tata Consultancy Services Limited (TCS)
  • 31.5. Hewlett Packard Enterprise Development LP (HPE)
  • 31.6. Fujitsu Limited
  • 31.7. Cognizant Technology Solutions Corporation
  • 31.8. Infosys Limited
  • 31.9. Wipro Limited
  • 31.10. SAS Institute Inc.
  • 31.11. Informatica Inc.
  • 31.12. WNS (Holdings) Limited
  • 31.13. MicroStrategy Incorporated
  • 31.14. Sisense Inc.
  • 31.15. Tecnotree Corporation

32. Global Cloud Augmented Intelligence Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Cloud Augmented Intelligence Market

34. Recent Developments In The Cloud Augmented Intelligence Market

35. Cloud Augmented Intelligence Market High Potential Countries, Segments and Strategies

  • 35.1 Cloud Augmented Intelligence Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Cloud Augmented Intelligence Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Cloud Augmented Intelligence Market In 2029 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer